Distributionally Robust Chance Constrained Optimal Power Flow with Renewables: A Conic Reformulation

By Weijun Xie, Shabbir Ahmed. IEEE Transactions on Power Systems, 2018

176 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/d55a5d57bae1d11843c3351462a8d7fd4987199d

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In Electrical and Electronic Engineering

1. Fengqi You

Citations in the corpus

• Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming (2019, background): “Data-driven chance constrained programs have successful applications in a number of areas, such as power system [150], stochastic control [151], and vehicle routing problem [152].”